A brilliant stylist known for an uncompromising honesty that challenges conventional wisdom at every turn, Krauthammer has for decades daz­zled readers with his keen insight into politics and government. His weekly column is a must-read in Washington and across the country. Now, finally, the best of Krauthammer’s intelligence, erudition and wit are collected in one volume.   Readers will find here not only the country’s leading conservative thinker offering a pas­sionate defense of limited government, but also a highly independent mind whose views—on feminism, evolution and the death penalty, for example—defy ideological convention. Things That Matter also features several of Krautham­mer’s major path-breaking essays—on bioeth­ics, on Jewish destiny and on America’s role as the world’s superpower—that have pro­foundly influenced the nation’s thoughts and policies. And finally, the collection presents a trove of always penetrating, often bemused re­flections on everything from border collies to Halley’s Comet, from Woody Allen to Win­ston Churchill, from the punishing pleasures of speed chess to the elegance of the perfectly thrown outfield assist.   With a special, highly autobiographical in­troduction in which Krauthammer reflects on the events that shaped his career and political philosophy, this indispensible chronicle takes the reader on a fascinating journey through the fashions and follies, the tragedies and triumphs, of the last three decades of American life.

    But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.

    Moms in particular will welcome this trend.  A full 60% wish they had a flexible work option. But companies see advantages too in the way remote work increases their talent pool, reduces turnover, lessens their real estate footprint, and improves the ability to conduct business across multiple time zones, to name just a few advantages.  In Remote, inconoclastic authors Fried and Hansson will convince readers that letting all or part of work teams function remotely is a great idea--and they're going to show precisely how a remote work setup can be accomplished.

    This "old power" was out of reach for the vast majority of people. But our ubiquitous connectivity makes possible a different kind of power. "New power" is made by many. It is open, participatory, and peer-driven. It works like a current, not a currency--and it is most forceful when it surges. The battle between old and new power is determining who governs us, how we work, and even how we think and feel. New Power shines fresh light on the cultural phenomena of our day, from #BlackLivesMatter to the Ice Bucket Challenge to Airbnb, uncovering the new power forces that made them huge. Drawing on examples from business, activism, and pop culture, as well as the study of organizations like Lego, NASA, Reddit, and TED, Heimans and Timms explain how to build new power and channel it successfully. They also explore the dark side of these forces: the way ISIS has co-opted new power to monstrous ends, and the rise of the alt-right's "intensity machine."In an era increasingly shaped by new power, this groundbreaking book offers us a new way to understand the world--and our role in it.

    WikiLeaks brought to light a new form of whistleblowing, using powerful cryptographic code to hide leakers’ identities while they spill the private data of government agencies and corporations. But that technology has been evolving for decades in the hands of hackers and radical activists, from the libertarian enclaves of Northern California to Berlin to the Balkans. And the secret-killing machine continues to evolve beyond WikiLeaks, as a movement of hacktivists aims to obliterate the world’s institutional secrecy.This is the story of the code and the characters—idealists, anarchists, extremists—who are transforming the next generation’s notion of what activism can be.With unrivaled access to such major players as Julian Assange, Daniel Domscheit-Berg, and WikiLeaks’ shadowy engineer known as the Architect, never before interviewed, reporter Andy Greenberg unveils the world of politically-motivated hackers—who they are and how they operate.

    There she saw first-hand how deeply intertwined Silicon Valley was with the federal government, and always had been, and how shallow the common understanding of the secrets of the Valley's success actually was. Now, after almost five years of pioneering research, O'Mara has produced the definitive history of Silicon Valley for our time, the story of mavericks and visionaries, but also of powerful institutions creating the framework for innovation, from the Pentagon to Stanford University. It is also a story of a community that started off remarkably homogeneous and elitist and stayed that way, and whose belief in its own mythology has deepened into a collective hubris that has led to astonishing triumphs as well as devastating second-order effects.Deploying a wonderfully rich and diverse cast of protagonists, from the justly famous to the unjustly obscure, across four generations of explosive growth in the Valley, from the Forties to the present, O'Mara has wrestled into magnificent narrative form one of the most fateful developments in modern American history. She is on the ground with all of the key tech companies, and chronicles the evolution in their offerings through each successive era, and she has a profound fingertip feel for the politics of the sector, and its relation to the larger cultural narrative about tech as it has evolved over the years. Perhaps most impressively, O'Mara has penetrated the inner kingdom of tech venture capital firms, the insular and still remarkably old-boy world that became the cockpit of American capitalism and the crucible for bringing technological innovation to market, or not. The transformation of big tech into the engine room of the American economy and the nexus of so many of our hopes and dreams--and increasingly nightmares--can be understood, in Margaret O'Mara's masterful hands, as the story of one California valley. As her majestic history makes clear, its fate is the fate of us all.

    In The Phoenix Project, Bill, an IT manager at Parts Unlimited, is tasked with a project critical to the future of the business, code named Phoenix Project. But the project is massively over budget and behind schedule. The CEO demands Bill fix the mess in ninety days or else Bill's entire department will be outsourced. In The Unicorn Project, we follow Maxine, a senior lead developer and architect, as she is exiled to the Phoenix Project, to the horror of her friends and colleagues, as punishment for contributing to a payroll outage. She tries to survive in what feels like a heartless and uncaring bureaucracy and to work within a system where no one can get anything done without endless committees, paperwork, and approvals. One day, she is approached by a ragtag bunch of misfits who say they want to overthrow the existing order, to liberate developers, to bring joy back to technology work, and to enable the business to win in a time of digital disruption. To her surprise, she finds herself drawn ever further into this movement, eventually becoming one of the leaders of the Rebellion, which puts her in the crosshairs of some familiar and very dangerous enemies. The Age of Software is here, and another mass extinction event looms--this is a story about "red shirt" developers and business leaders working together, racing against time to innovate, survive, and thrive in a time of unprecedented uncertainty...and opportunity.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    Though until now it has remained mostly anonymous, its members invented the concept of hacktivism, released the top tool for testing password security, and created what was for years the best technique for controlling computers from afar, forcing giant companies to work harder to protect customers. They contributed to the development of Tor, the most important privacy tool on the net, and helped build cyberweapons that advanced US security without injuring anyone. With its origins in the earliest days of the Internet, the cDc is full of oddball characters -- activists, artists, even future politicians. Many of these hackers have become top executives and advisors walking the corridors of power in Washington and Silicon Valley. The most famous is former Texas Congressman and current presidential candidate Beto O'Rourke, whose time in the cDc set him up to found a tech business, launch an alternative publication in El Paso, and make long-shot bets on unconventional campaigns.Today, the group and its followers are battling electoral misinformation, making personal data safer, and battling to keep technology a force for good instead of for surveillance and oppression. Cult of the Dead Cow shows how governments, corporations, and criminals came to hold immense power over individuals and how we can fight back against them.

    Julian Assange, the editor-in-chief of and visionary behind WikiLeaks, has been a leading voice in the cypherpunk movement since its inception in the 1980s.Now, in what is sure to be a wave-making new book, Assange brings together a small group of cutting-edge thinkers and activists from the front line of the battle for cyber-space to discuss whether electronic communications will emancipate or enslave us. Among the topics addressed are: Do Facebook and Google constitute "the greatest surveillance machine that ever existed," perpetually tracking our location, our contacts and our lives? Far from being victims of that surveillance, are most of us willing collaborators? Are there legitimate forms of surveillance, for instance in relation to the "Four Horsemen of the Infopocalypse" (money laundering, drugs, terrorism and pornography)? And do we have the ability, through conscious action and technological savvy, to resist this tide and secure a world where freedom is something which the Internet helps bring about?The harassment of WikiLeaks and other Internet activists, together with attempts to introduce anti-file sharing legislation such as SOPA and ACTA, indicate that the politics of the Internet have reached a crossroads. In one direction lies a future that guarantees, in the watchwords of the cypherpunks, "privacy for the weak and transparency for the powerful"; in the other lies an Internet that allows government and large corporations to discover ever more about internet users while hiding their own activities. Assange and his co-discussants unpick the complex issues surrounding this crucial choice with clarity and engaging enthusiasm.

    But then came Netflix's "House of Cards." Netflix gauged the show's potential from data it had gathered about subscribers' preferences, ordered two seasons without seeing a pilot, and uploaded the first thirteen episodes all at once for viewers to watch whenever they wanted on the devices of their choice.In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of "House of Cards" upended the film and TV industries -- and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries. Just about everything is affected: pricing, production, distribution, piracy. Smith and Telang discuss niche products and the long tail, product differentiation, price discrimination, and incentives for users not to steal content. To survive and succeed, businesses have to adapt rapidly and creatively. Smith and Telang explain how.How can companies discover who their customers are, what they want, and how much they are willing to pay for it? Data. The entertainment industries, must learn to play a little "moneyball." The bottom line: follow the data.

    That's what Ben Lindbergh and Sam Miller got to do when the Sonoma Stompers, an independent minor-league team in California, offered them the chance to run the team's baseball operations according to the most advanced statistics. The Only Rule Is It Has to Work is unlike any other baseball tale you've ever read.We tag along as Lindbergh and Miller apply their number-crunching insights to all aspects of assembling and running a team. We meet colorful figures like general manager Theo Fightmaster and boundary-breakers like the first openly gay professional player and the first Japanese manager in American professional baseball. Even José Canseco makes a cameo appearance.Will sabermetrics bring the Stompers a championship, or will they fall on their face? Will the team have a competitive advantage or is the old folk wisdom really true after all? Will the players be able to maximize their talents and attract the attention of big-league scouts, or will this be a fast track to oblivion?It's a wild ride, as the authors' infectious enthusiasm and feel for the absurd make the Stompers' story one that will speak to numbers geeks and traditionalists alike. And it proves that you don't need a bat or a glove to make a genuine contribution to the game.